A method and system for interactive collision alarms for automobiles

Abstract

This invention discloses a vehicle collision alarm interaction method and system. The method includes: acquiring parameter data of the vehicle during its driving process based on onboard components; classifying the vehicle collision into collision levels based on the acquired data; and issuing a matching alarm strategy based on the classified collision levels. This invention uses data collected by vehicle sensors to determine the collision level and then provides a corresponding alarm interaction, thereby improving active safety while meeting the requirements of low cost and reliable alarms.

Description

Technical Field

[0001] This invention relates to the field of vehicle safety control, and in particular to a sensor-based vehicle collision alarm interaction method and system. Background Technology

[0002] With the development of the automotive industry, traffic accidents occur frequently, and vehicle safety has become one of the important reference indicators for consumers when purchasing a car. Previously, passive safety systems mainly focused on improving the rigidity of the vehicle body structure and materials. However, with the development of vehicle intelligence, connectivity, and platformization, active safety systems have become a trend. Existing active safety technologies include alarm interaction schemes after a collision, which improve the vehicle's active safety through alarm interaction. Currently, there are three types of alarm interaction schemes for calling for roadside assistance after a collision:

[0003] (1) When a traffic accident occurs, the vehicle directly sends a rescue request to the relevant department. However, since the driver is not injured or the injury is minor, not much medical resources are needed, this method may lead to a waste of rescue resources.

[0004] (2) After a traffic accident, the driver should take the initiative to send a rescue request to the medical department. However, when the driver is seriously injured or unconscious, they may not be able to send a rescue request, or the information they describe may be vague or inaccurate due to shock and tension, thus delaying the best rescue time.

[0005] (3) After the collision, the driver can communicate remotely with staff through the in-vehicle communication device, and the staff can determine whether to dispatch rescue forces. However, this method requires the platform to arrange personnel to answer the call, which increases labor costs.

[0006] Therefore, existing interactive alarm solutions after collision still have certain problems, including issues with alarm interaction and collision degree recognition, and the inability to classify alarms based on collision conditions. Summary of the Invention

[0007] The purpose of this invention is to overcome the shortcomings of the prior art and provide a vehicle collision alarm interaction method and system. By using data collected by vehicle sensors to determine the collision level, a corresponding alarm interaction is given, thereby improving active safety while meeting the requirements of low cost and reliable alarm.

[0008] To achieve the above objectives, the technical solution adopted by the present invention is: a vehicle collision alarm interaction method, comprising:

[0009] Parameter data of the vehicle during driving is obtained based on on-board components;

[0010] The collision level is classified based on the data acquired during the vehicle's driving process;

[0011] Based on the defined collision levels, a matching alarm strategy is issued.

[0012] Based on vehicle data acquired from onboard components during the driving process, the system predicts whether a collision will occur. Once a collision is determined, a collision alarm process is immediately initiated. After the collision alarm process is initiated, vehicle status data before and after the collision is collected in real time. Based on the vehicle status data, the system calculates the vehicle collision severity parameters and determines the vehicle's collision level.

[0013] Based on the vehicle radar, the distance k between the vehicle and the obstacles around the vehicle and the relative speed data between the vehicle and the obstacles are obtained. The shortest braking distance Kmin of the vehicle is calculated based on the vehicle speed and acceleration. When the shortest braking distance Kmin is greater than the distance k, it is determined that a collision will occur and the collision alarm process is immediately initiated.

[0014] After the collision alarm process is initiated, the collision angle and deflection angle are determined by the relative position and distance between the obstacle and the vehicle, and the collision type is predicted. At the same time, after the collision occurs, the post-collision instantaneous acceleration AMAX, the collision discrete instantaneous velocity VMAX, and the rear slip distance are obtained to calculate the collision impulse P, and the collision level is classified based on the collision impulse.

[0015] Based on the pre-set level threshold and the calculated collision impulse P, accidents are classified into minor accidents, general accidents, and serious accidents. Then, corresponding alarm strategies are set for each type of accident to output alarms.

[0016] When the accident is determined to be minor, the alarm strategy includes: dialing the preset emergency contact number through the vehicle domain controller and sending the vehicle location and number of people data to the emergency contact's mobile phone, while simultaneously driving the vehicle's alarm lights to flash.

[0017] When an accident is determined to be a general accident or a serious accident, the alarm strategy will be executed after a delay of x seconds. During the X-second delay, confirmation information will be displayed on the central control screen, and the driver's operation information on the central control screen will be monitored in real time. If no user operation signal on the central control screen is detected during the X-second delay, the corresponding alarm strategy will be executed after the X-second delay. If the user operation on the central control screen is detected to cancel the alarm strategy, the execution of the alarm strategy will be canceled.

[0018] When executing the alarm strategy corresponding to a general accident, the vehicle domain controller dials the preset emergency contact number and sends the vehicle location and number of people data to the emergency contact's mobile phone, drives the vehicle alarm lights to flash, and dials the alarm number and broadcasts the accident information through the vehicle domain controller.

[0019] When executing the alarm strategy corresponding to a serious accident, the vehicle domain controller dials the preset emergency contact number and sends the vehicle location and number of people data to the emergency contact's mobile phone, drives the vehicle's alarm lights to flash, dials the alarm number and broadcasts the accident information through the vehicle domain controller; and dials the 120 emergency number and broadcasts the accident information through the vehicle domain controller, executes the DSRC module, and transmits the accident information to nearby vehicles through the vehicle networking platform to make rescue calls.

[0020] After a collision, the system acquires the vehicle's GPS information and, based on the vehicle-to-everything (V2X) network, synchronizes the accident status information and corresponding accident location information to the map app's server. The map app's server then updates the accident information to the map app for notification and display.

[0021] A car collision alarm interaction system is provided. The interaction system is used to run the alarm interaction method. The interaction system includes an on-board component, a control unit, and an execution unit, wherein the on-board component acquires parameter data during the vehicle's driving process.

[0022] The control unit classifies vehicle collisions into collision levels based on data acquired during vehicle operation; the execution unit issues a matching alarm strategy based on the classified collision levels.

[0023] The advantages of this invention are: by using data collected by vehicle sensors to determine the collision level and then providing corresponding alarm responses, it improves active safety while meeting the requirements of low cost and reliable alarms. Accurate collision level identification through collision data analysis results in a more intelligent and efficient vehicle collision alarm system that ensures the safety of drivers and passengers. Furthermore, this system can be integrated with other vehicle safety systems to enhance overall vehicle safety. The solution also offers the following advantages:

[0024] 1. Advance decision-making: Proactively assess collision risk based on road conditions and vehicle status, trigger the program before a collision, and quickly make a judgment after the collision.

[0025] 2. Economic efficiency: Compared with the existing technology that sends a rescue request to the cloud platform whenever a traffic accident occurs, it can avoid the waste of rescue resources and save manpower costs by eliminating the need to arrange dedicated operators.

[0026] 3. Intelligent: The driver does not need to actively operate the system when sending a rescue request, thus avoiding situations where the driver's injuries are too severe to call for help. It can also be upgraded via OTA in the future. Attached Figure Description

[0027] The following is a brief explanation of the contents of each of the accompanying drawings and the markings in the drawings:

[0028] Figure 1 The flowchart is as follows: This invention provides an alarm interaction method.

[0029] Figure 2 This is a schematic diagram of the interactive control of the alarm interaction method of the present invention. Detailed Implementation

[0030] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and the description of the preferred embodiments.

[0031] This solution addresses the problems of existing technologies that directly call 110 and 120 (police and ambulance services) for emergency calls, such as high cost, handling minor collisions, and false alarms to 120. By classifying collisions into different levels and applying different alarm strategies based on those levels, the solution ensures that an emergency 120 alarm is only triggered in cases of severe collisions. This reduces the probability of false alarms and improves the accuracy, reliability, and scientific rigor of the alarm interaction system. It achieves a more intelligent and efficient vehicle collision alarm system to ensure the safety of drivers and passengers. Furthermore, this system can be integrated with other vehicle safety systems to enhance overall vehicle safety.

[0032] This invention provides a vehicle collision intelligent alarm system. The method includes: acquiring sensor data at the time of a vehicle collision to assess the collision severity and risk level; and, based on this collision severity, controlling the vehicle to execute a corresponding alarm operation. The vehicle collision alarm system includes the following key steps:

[0033] 1. A vehicle collision alarm device is provided, which collects signals from multiple sensors and sends them to the vehicle ECU, and compares them with preset values ​​stored in the memory.

[0034] 2. The body controller analyzes and evaluates the collision signal and acceleration signal to assess the degree of collision. Three intensity values ​​are preset. The body controller assesses the degree of collision and controls the execution of the distress call operation at the intensity value. The data is linked with the intelligent network platform through DSRC to achieve the purpose of intelligence.

[0035] The alarm interaction method provided in this application can provide targeted alarms by accurately identifying the collision level and setting alarm strategies corresponding to different levels, thereby reducing the risk of false alarms and the cost issues associated with OEMs configuring active safety features. It eliminates the need for dedicated operators, significantly saving costs. The specific solution is described below:

[0036] like Figure 1 As shown in the figure, this embodiment provides a car collision alarm interaction method, including:

[0037] S1. Obtain parameter data of the vehicle during driving based on vehicle-mounted components. Vehicle-mounted components refer to vehicle-mounted sensors, including but not limited to vehicle-mounted radar, cameras, wiper status (wiper controller reads status information), vehicle speed sensor, GPS / BeiDou sensor, etc., to obtain various vehicle status and driving data.

[0038] S2. Based on the acquired data during the vehicle's driving process, classify the collision level of the vehicle collision. According to the data during the vehicle's driving process, classify the collision level after the collision occurs into minor collision, general collision and severe collision, and then pre-set alarm strategies corresponding to different collision levels.

[0039] S3. Based on the classified collision levels, a matching alarm strategy is issued. Different alarm strategies are adopted according to the severity of the collision level to realize alarm interaction, achieve accurate and reliable collision identification and timely and effective alarm interaction, realize targeted and reliable alarm, improve the rescue capability of accidents and avoid wasting rescue resources, and achieve matching between accidents and rescue resources.

[0040] Based on vehicle data acquired from onboard components during the driving process, the system predicts whether a collision will occur. Once a collision is determined, a collision alarm process is immediately initiated. After the collision alarm process is initiated, vehicle status data before and after the collision is collected in real time. Based on the vehicle status data, the system calculates the vehicle collision severity parameters and determines the vehicle's collision level.

[0041] The vehicle obtains the distance k between the vehicle and obstacles around the vehicle using onboard radar. The shortest braking distance Kmin is calculated based on the vehicle's speed and acceleration. If the shortest braking distance Kmin is greater than the distance k, it is determined that a collision is likely and the collision alarm process is immediately initiated.

[0042] After the collision alarm process is initiated, the collision angle and deflection angle are determined by the relative position and distance between the obstacle and the vehicle, and the collision type is predicted. At the same time, after the collision occurs, the post-collision instantaneous acceleration AMAX, the collision discrete instantaneous velocity VMAX, and the rear slip distance are obtained to calculate the collision impulse P, and the collision level is classified based on the collision impulse.

[0043] Accidents are classified into minor, general, and serious accidents based on pre-set threshold levels and calculated collision impact P. Corresponding alarm strategies are then set for each type of accident to generate alarm outputs. The collision impact thresholds include a first threshold and a second threshold. When the collision impact P is less than or equal to the first threshold, it is classified as a minor accident; when the collision impact P is greater than the first threshold but less than the second threshold, it is classified as a general accident; and when the collision impact P is greater than or equal to the second threshold and airbag deployment is detected, it is classified as a serious accident. Different alarm strategies are applied according to different accident classifications, including alarm strategies for minor, general, and serious accidents.

[0044] When a minor accident is detected, the alarm strategy includes: dialing a preset emergency contact number via the vehicle domain controller and sending vehicle location and number of people data to the emergency contact's mobile phone, while simultaneously activating the vehicle's hazard lights to flash; after a collision, obtaining the vehicle's GPS information and synchronizing the accident status information and corresponding accident location information to the map app's server via vehicle-to-everything (V2X) communication, the map app server updates the accident information to the map app for alerting and display. Minor accidents are generally small scrapes and bumps, which can usually be handled by the driver themselves without actively contacting the police or emergency services (120). Therefore, upon detecting a minor accident, the vehicle domain controller dials the preset emergency contact number, allowing the emergency contact and driver to handle the situation themselves; simultaneously, the vehicle location and number of people data are sent to the emergency contact's mobile phone for their convenience, and the vehicle domain controller activates the headlight controller, which then activates the vehicle's hazard lights to alert surrounding vehicles and prevent secondary accidents. The vehicle hazard lights can be hazard lights. In order to avoid secondary collisions and improve safety due to the accident, the accident and its location information are uploaded to the map app's server via vehicle-to-everything (V2X) communication. The map app's server then sends an alert to the map app, which displays the accident location and information, allowing nearby users with the map app to obtain accident information promptly and prevent secondary accidents from occurring.

[0045] When an accident is determined to be a general or serious accident, under normal circumstances, the corresponding strategy should be executed promptly upon classification. However, since the fault level is estimated based on parameters, a user confirmation process is implemented to avoid estimation errors. The general or serious accident alarm strategy is executed after a delay of x seconds following the collision. During this X-second delay, confirmation information is displayed on the central control screen, which monitors the driver's actions in real time. If no user interaction with the central control screen is detected during the X-second delay, the corresponding alarm strategy is executed after the delay. If user interaction to cancel the alarm strategy is detected, the strategy is cancelled. The X seconds is typically very short, usually within 10 seconds, allowing the driver to make a decision. After the accident, an alarm strategy cancellation button is displayed on the central control screen. If the driver deems the alarm strategy unnecessary, they can cancel it. If the driver is unconscious or deems it necessary, the general or serious accident alarm strategy can be executed directly after the delay. The cancellation button can be activated by the vehicle's central control screen, which detects user input signals on the touchscreen or via the central control screen buttons. Based on these signals, the system determines whether to cancel the alarm policy or execute it directly after a delay of X seconds. This is because if the accident classification is incorrect, the driver can actively cancel the corresponding alarm policy within X seconds. If the driver deems it necessary to execute the alarm policy, they can choose not to, and the policy will automatically execute after X seconds. Alternatively, in cases of severe accidents where the driver is unconscious or otherwise unable to operate the system, the corresponding alarm policy will be executed after X seconds. This method effectively avoids the execution of erroneous alarm policies, improves the reliability of alarm policy execution, and provides the user with a degree of autonomy, enhancing vehicle safety while ensuring user control.

[0046] When executing the alarm strategy for general accidents, the vehicle domain controller dials the preset emergency contact number and sends vehicle location and number of people data to the emergency contact's mobile phone, causing the vehicle's warning lights to flash. This executes the alarm strategy for minor accidents. Simultaneously, the vehicle domain controller dials 110 (police emergency number) and broadcasts the accident information. Building upon the minor accident alarm strategy, the addition of a 110 alarm strategy for general accidents significantly improves driver safety, accident handling capabilities, and the timeliness of rescue. The vehicle domain controller dials 110 and broadcasts accident information, including the accident location, vehicle information, and driver information, facilitating rapid arrival of 110 at the scene. After a collision (in general accident situations), the vehicle's GPS information is acquired, and the accident status information and corresponding accident location information are synchronized to the map app's server via vehicle-to-everything (V2X) communication. The map app server then updates the accident information to the map app for notification and display. Minor accidents are typically small scrapes and bumps, which can usually be handled by the driver themselves without requiring active safety intervention to notify the police or emergency services (120). Therefore, upon detecting a minor accident, the vehicle domain controller dials the pre-set emergency contact number, allowing the emergency contact and driver to handle the situation independently. Simultaneously, the vehicle's location and the number of people on board are sent to the emergency contact's mobile phone for their convenience. At the same time, the vehicle domain controller activates the vehicle's lighting controller, which in turn activates the vehicle's hazard lights to alert surrounding vehicles and prevent secondary accidents. The vehicle hazard lights can be hazard lights. To further prevent secondary collisions and improve safety, the accident and its location information are uploaded to the map app's server via vehicle-to-everything (V2X) communication. The map app server then sends an alert to the map app, which displays the accident location and information, allowing nearby users with the map app to receive the information promptly or pushing the information to other map apps to prevent secondary accidents.

[0047] When executing the alarm strategy corresponding to a serious accident, the vehicle domain controller dials the preset emergency contact number and sends vehicle location and number of people data to the emergency contact's mobile phone, drives the vehicle's warning lights to flash, and simultaneously dials the emergency number and broadcasts the accident information. It also dials the 120 emergency number and broadcasts the accident information, executes the DSRC module, and transmits the accident information to nearby vehicles via the vehicle networking platform for rescue calls. The serious accident alarm strategy adds two more strategies to the general accident strategy: calling 120 and calling for rescue via the DSRC module. This significantly improves active safety performance. When a serious accident is determined, calling 120 for rescue, in addition to the basic strategy, greatly increases the probability of saving the driver and passengers' lives. Calling for rescue from surrounding vehicles further increases the probability of successful rescue. While dialing 120, the accident location, severity, and vehicle information are broadcast to the 120 emergency hotline via voice, facilitating timely rescue. Assisted rescue utilizes the DSRC module to send rescue information to surrounding vehicles equipped with DSRC modules, thereby improving rescue effectiveness. The rescue information includes the accident location and details. Following a collision (in the case of a serious accident), the vehicle's GPS information is acquired, and the accident status and location information are synchronized to the map app's server via vehicle-to-everything (V2X) communication. The map app server then updates the accident information to the app for alerting and display. Minor accidents, such as scrapes and bumps, can generally be handled by the driver without requiring active safety intervention to notify the police or emergency services. Therefore, upon detecting a minor accident, the vehicle's domain controller dials the pre-set emergency contact number, allowing the driver and emergency contact to handle the situation independently. Simultaneously, the vehicle's location and number of people are sent to the emergency contact's phone for assistance. At the same time, the vehicle's domain controller activates the headlight controller, which in turn activates the vehicle's hazard lights to alert surrounding vehicles and prevent secondary accidents. The vehicle's hazard lights can be activated. In order to avoid secondary collisions and improve safety due to the accident, the accident and its location information are uploaded to the map app's server via vehicle-to-everything (V2X) communication. The map app's server then sends an alert to the map app, which displays the accident location and information, allowing nearby users with the map app to obtain accident information promptly and prevent secondary accidents from occurring.

[0048] This embodiment also provides a vehicle collision alarm interaction system. This system is used to run the alarm interaction method described in the above embodiment. The system includes in-vehicle components, a control unit, and an execution unit. The in-vehicle components acquire parameter data during the vehicle's driving process. The control unit classifies vehicle collisions into collision levels based on the acquired data. The execution unit issues a matching alarm strategy based on the classified collision levels. In-vehicle components include, but are not limited to, in-vehicle radar, cameras, windshield wipers (wiper motor control), vehicle speed sensors, GPS / BeiDou sensors, etc. The control unit is implemented using a processor with data processing and control functions, and can be implemented using an in-vehicle controller. The actuator includes a body domain controller, etc., which mainly issues alarm signals and executes alarm strategies.

[0049] In this embodiment, onboard sensors acquire current and forward road condition information, including but not limited to road slope, road friction coefficient, and road unevenness. Vehicle information is also acquired: GPS, vehicle speed, torque, ambient temperature, etc. The acquired vehicle information is compared with preset minimum braking distances and vehicle accelerations under different environments to determine if a collision is likely. Acquiring current road condition information is crucial for calculating the shortest braking distance. If the vehicle has four-wheel drive, it can also assist in determining when to engage four-wheel drive and switching vehicle modes such as ECO, NOMAL, and SPORT. The collision angle is determined using vehicle cameras, and the ECU calculates the impulse P based on the collected data to decide whether the collision risk exceeds the safety threshold. Based on the system's predicted risk level, the accident is categorized as severe, general, or minor, and corresponding alarm measures are implemented. A self-learning model is built using the OEM's own data resources to identify collisions from multiple dimensions, improving data utilization and enabling self-learning after a collision. Subsequent OTA updates further enhance prediction accuracy.

[0050] In this embodiment, the vehicle first determines the weather conditions based on GPS-provided weather information, wiper settings, and ambient temperature, such as rain / snow (light / medium / heavy), fog (visibility), etc. An onboard slope sensor and camera read the road surface type and slope, while an onboard LiDAR / millimeter-wave radar reads the distance k between the vehicle and obstacles. Current vehicle speed and acceleration information are then collected and transmitted to the vehicle's ECU via I / O ports. This data is compared with preset calibration values ​​stored in the module. Obtaining weather information is primarily for predicting road conditions. Based on these conditions, the estimated coefficient of friction can be calculated, leading to the corresponding braking distance. For example, rainy weather is classified as a low-friction road surface, while snowy weather or temperatures below 0°C is classified as an icy or snowy road surface. A simplified method is as follows: V0 2= 2 × a × s, where V0 is the vehicle speed, s is the braking distance, and a is the braking deceleration, or: s = V0 2 / (2×a), the braking distance s is determined by the vehicle speed V0. 2 And deceleration a. The maximum achievable deceleration of a car is a = φ × g, where φ is the road adhesion coefficient and g is the gravitational acceleration of the area where the car is located. This gravitational acceleration generally varies slightly from region to region, but is approximated as 9.8 for calculation. The formula can then be written as: Braking distance s = V0 2 / (2×φ×g), this is the most ideal state. When φ=1, the maximum braking deceleration is a=g=9.8m / s². 2 If the adhesion coefficient φ = 0.5, then a = 0.5g = 4.9m / s 2 This requires the braking force of the car wheels to always be equal to the ground adhesion force. In reality, the adhesion force on the wheels is equal to the product of the ground contact force and the coefficient of friction. During driving, acceleration and deceleration (braking) cause the ground contact force and adhesion force of the wheels to constantly change. There are limits to the ability of the brakes to constantly adjust the braking force to be exactly the same as the adhesion force. Therefore, the actual braking deceleration a ≤ φ × g. Thus, based on the braking distance s = V0... 2 The shortest braking distance can be obtained by calculating the road surface adhesion coefficient estimated by the weather forecast using / (2×φ×g).

[0051] 1. Calculate the vehicle's shortest braking distance Kmin. When the obstacle distance k < Kmin, the program pre-starts to predict the collision angle and yaw angle (frontal collision, side collision, rear collision, rollover, or longitudinal collision). The collision direction and yaw angle can be determined using LiDAR / camera / millimeter-wave radar, depending on the vehicle model. The general development process is as follows: 1. Sensor selection and installation: Select high-precision, high-response-speed inertial measurement units (IMUs), wheel speed sensors, pressure sensors, and high-definition vehicle cameras. Specific functions: {Inertial Measurement Unit (IMU): Includes accelerometers and gyroscopes. Accelerometers measure the linear acceleration of the vehicle during a collision, while gyroscopes measure the vehicle's rotational angular velocity. By integrating and analyzing this data, the vehicle's attitude change during a collision can be estimated, thereby inferring the collision angle and yaw angle. Wheel speed sensors: By monitoring the changes in wheel speed, the motion state of each wheel during a collision can be understood, thus assisting in calculating the collision angle and yaw angle.} Vehicle-mounted cameras: If the cameras have sufficient frame rate and resolution, the images captured at the moment of impact, showing the vehicle's surroundings and deformation, can provide visual cues for analyzing the collision angle and yaw angle. Pressure sensors: Installed on critical structural parts of the vehicle, they measure pressure distribution and changes during a collision. Combined with a structural model of the vehicle, this helps in estimating the collision angle and yaw angle. Determining the sensor installation locations on the vehicle is crucial to ensuring accurate capture of collision-related data.

[0052] 2. Data Acquisition and Preprocessing

[0053] Establish a data acquisition system to collect sensor data in real time.

[0054] o Perform preprocessing such as filtering and noise reduction on the collected data to remove interference and outliers.

[0055] 3. Create a vehicle model

[0056] Based on the vehicle's structure, dynamics, and material properties, a detailed mathematical model is created.

[0057] o Consider different collision scenarios and conditions to validate and optimize the model.

[0058] 4. Algorithm Development

[0059] o Use machine learning or deep learning algorithms, such as neural networks, to train the preprocessed data and vehicle models.

[0060] o Develop algorithms that can integrate data from multiple sensors to comprehensively determine collision angle and deflection angle.

[0061] 5. Real-time monitoring and forecasting

[0062] This enables the algorithm to run in real time within the vehicle system, allowing for rapid prediction before or immediately after a collision.

[0063] The algorithm is continuously updated and optimized to adapt to new collision scenarios and vehicle types.

[0064] 6. Verification and Testing

[0065] Extensive collision tests were conducted in a simulated environment to verify the accuracy of the prediction results.

[0066] Conduct real-world road tests to collect real-world collision data and further improve the system. This will enable the prediction of collision direction and yaw angle.

[0067] The vehicle's central controller and central computing unit (ECU) read the instantaneous acceleration (AMAX) after the collision, the instantaneous velocity (VMAX) of the collision separation, the vehicle weight, and the post-collision slip distance. Combined with whether the airbags are activated, the results are sent to the processor. Based on the location of the impact force in the vehicle collision signal, the collision location is determined. The collision impulse (P) is calculated, and the vehicle collision risk coefficient is judged to be higher than or equal to a preset threshold. The accident is classified, and the result is sent to the central control screen. When the output result is less than or equal to the first-level threshold (minor accident), a dialing command is directly output and transmitted to the body domain controller via CAN. Upon receiving the dialing signal, the body domain controller actively dials the preset emergency contact, sends the vehicle location and number of people, and the vehicle's warning lights flash. Simultaneously, the vehicle's GPS information is synchronized to the corresponding map app, displaying the accident ahead. When the result is greater than the first-level threshold but less than the second-level threshold, it is actively judged as a general accident. After driver confirmation or if the driver is unconscious / after a certain delay, in addition to performing the previous level operation, 110 is dialed, and the information is broadcast simultaneously. When the airbags deploy or the vehicle risk coefficient is greater than the second-level threshold, it is upgraded to a serious accident. In addition to performing the above operations, 120 is dialed, and vehicle information is sent. Simultaneously, the DSRC module is activated, transmitting information to nearby vehicles via the vehicle networking platform to request roadside assistance.

[0068] In this solution, the vehicle's own sensors can be used to measure the following parameters: Instantaneous acceleration after a collision (AMAX): Vehicles are typically equipped with acceleration sensors, such as accelerometers, which can measure the changes in acceleration of the vehicle in different directions in real time. By processing and analyzing the sensor data through the vehicle's electronic control unit (ECU), the instantaneous acceleration after a collision can be obtained.

[0069] Collision separation instantaneous speed VMAX: Vehicle speed sensors (usually based on wheel speed sensors or other related technologies) can measure the vehicle's real-time speed. By recording the speed changes and time before and after the collision, the collision separation instantaneous speed can be calculated.

[0070] Vehicle weight: The weight of a vehicle can be obtained by equipping it with sensors that can indirectly estimate the vehicle's load, such as suspension pressure sensors or body attitude sensors, but these are not usually direct measurements of the vehicle's total weight.

[0071] Post-collision slip distance: The vehicle's positioning system (such as GPS or inertial navigation system) combined with wheel rotation information can potentially estimate the slip distance after a collision. However, the accuracy of this measurement can be affected by a variety of factors.

[0072] Obviously, the specific implementation of this invention is not limited to the above-described methods. Any non-substantial improvements made using the inventive concept and technical solution of this invention are within the protection scope of this invention.

Claims

1. A car collision alarm interaction method, characterized in that: include: Parameter data of the vehicle during its driving process are obtained based on on-board components; The collision level is classified based on the data acquired during the vehicle's driving process; Based on the classification of collision levels, a matching alarm strategy is issued; based on the vehicle data acquired during the driving process from the on-board components, it is predicted whether a collision will occur. Once it is determined that a collision will occur, the collision alarm process is immediately initiated. After the collision warning process is initiated, vehicle status data before and after the collision is collected in real time. Based on the vehicle status data, the vehicle collision degree parameter is calculated, and the vehicle collision level is determined based on the vehicle collision degree parameter. Based on the vehicle radar, the distance k between the vehicle and the obstacles around the vehicle and the relative speed data between the vehicle and the obstacles are obtained. The shortest braking distance Kmin of the vehicle is calculated based on the vehicle speed and acceleration. When the shortest braking distance Kmin is greater than the distance k, it is determined that the vehicle will collide and the collision alarm process is immediately initiated. Based on the pre-set level threshold and the calculated collision impulse P, the accident is divided into minor accident, general accident and serious accident. Then, corresponding alarm strategies are set for each type of accident and alarm output is performed. When an accident is determined to be a general accident or a serious accident, the alarm strategy will be executed after a delay of X seconds. During the X-second delay, confirmation information will be displayed on the central control screen, and the driver's operation information on the central control screen will be monitored in real time. If no user operation signal on the central control screen is detected during the X-second delay, the corresponding alarm strategy will be executed after the X-second delay. If the user operation on the central control screen is detected to cancel the alarm strategy, the execution of the alarm strategy will be canceled.

2. The vehicle collision alarm interaction method as described in claim 1, characterized in that: After the collision alarm process is initiated, the collision angle and deflection angle are determined by the relative position and distance between the obstacle and the vehicle, and the collision type is predicted. At the same time, after the collision occurs, the instantaneous acceleration AMAX after the collision, the instantaneous velocity VMAX of the collision separation, and the rear slip distance are obtained to calculate the collision impulse P. The collision level is classified based on the collision impulse.

3. The vehicle collision alarm interaction method as described in claim 1, characterized in that: When the accident is determined to be minor, the alarm strategy includes: dialing the preset emergency contact number through the vehicle domain controller and sending the vehicle location and number of people data to the emergency contact's mobile phone, while simultaneously driving the vehicle's alarm lights to flash.

4. A vehicle collision alarm interaction method as described in claim 1 or 3, characterized in that: When executing the alarm strategy corresponding to a general accident, the vehicle domain controller dials the preset emergency contact number and sends the vehicle location and number of people data to the emergency contact's mobile phone, drives the vehicle's alarm lights to flash, and dials the alarm number and broadcasts the accident information through the vehicle domain controller. When executing the alarm strategy corresponding to a serious accident, the vehicle domain controller dials the preset emergency contact number and sends the vehicle location and number of people data to the emergency contact's mobile phone, drives the vehicle's alarm lights to flash, dials the alarm number and broadcasts the accident information through the vehicle domain controller; and dials the 120 emergency number and broadcasts the accident information through the vehicle domain controller, executes the DSRC module, and transmits the accident information to nearby vehicles through the vehicle networking platform to make rescue calls.

5. A vehicle collision alarm interaction method as described in claim 1 or 3, characterized in that: After a collision, the system acquires the vehicle's GPS information and, based on the vehicle-to-everything (V2X) network, synchronizes the accident status information and corresponding accident location information to the map app's server. The map app's server then updates the accident information to the map app for notification and display.

6. A car collision alarm interactive system, characterized in that: The interactive system is used to run the alarm interaction method as described in any one of claims 1-5. The interactive system includes an in-vehicle component, a control unit, and an execution unit, wherein the in-vehicle component acquires parameter data during the vehicle's driving process. The control unit classifies vehicle collisions into collision levels based on data acquired during vehicle operation; the execution unit issues a matching alarm strategy based on the classified collision levels.

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